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Cited by 1,085

The DOI matches its Crossref record; 79 of the 79 references it cites were found in a registry or an index.

RNAi therapeutics: a potential new class of pharmaceutical drugs

Open access
Bumcrot, David, Manoharan, Muthiah, Koteliansky, Victor, Sah, Dinah W Y·2006·Nature Chemical Biology

Abstract

The rapid identification of highly specific and potent drug candidates continues to be a substantial challenge with traditional pharmaceutical approaches. Moreover, many targets have proven to be intractable to traditional small-molecule and protein approaches. Therapeutics based on RNA interference (RNAi) offer a powerful method for rapidly identifying specific and potent inhibitors of disease targets from all molecular classes. Numerous proof-of-concept studies in animal models of human disease demonstrate the broad potential application of RNAi therapeutics. The major challenge for successful drug development is identifying delivery strategies that can be translated to the clinic. With advances in this area and the commencement of multiple clinical trials with RNAi therapeutic candidates, a transformation in modern medicine may soon be realized.

Overview

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Registry

Crossref · 10.1038/nchembio839

Cites

79 of 79 references verified0 citation errors · 0 not checkable

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Citations

Cites

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Metadata

Authors
Bumcrot, D., Manoharan, M., Koteliansky, V., & Sah, D. W. Y.
Venue
Nature Chemical Biology
Published
2006-12
Volume
2
Issue
12
Pages
711-719
ISSN
  • 1552-4450 (ISSN-L)
  • 1552-4469
OpenAlex
W2021905258
Cited by
1,085
References
79
FWCI
20.75
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: RNAi therapeutics: a potential new class of pharmaceutical drugs. https://app.cochat.ai/papers/10.1038/nchembio839
The paper
Bumcrot, D., Manoharan, M., Koteliansky, V., & Sah, D. W. Y. (2006). RNAi therapeutics: a potential new class of pharmaceutical drugs. Nature Chemical Biology. https://doi.org/10.1038/nchembio839

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.